References
- Abbasi, S., and A. Haq. 2018. New adaptive cusum charts for process mean. Communications in Statistics-Simulation and Computation 1–19. doi:https://doi.org/10.1080/03610918.2018.1530786.
- Abujiya, M., and H. Muttlak. 2004. Quality control chart for the mean using double ranked set sampling. Journal of Applied Statistics 31 (10):1185–201. doi:https://doi.org/10.1080/0266476042000285549.
- Abujiya, M. R., M. Riaz, and M. H. Lee. 2013. Improving the performance of combined shewhart–cumulative sum control charts. Quality and Reliability Engineering International 29 (8):1193–206. doi:https://doi.org/10.1002/qre.1470.
- Al-Omari, A. I., and C. N. Bouza. 2014. Review of ranked set sampling: Modifications and applications. Revista de Investigacion Operacional 35 (3):215–40.
- Arshad, A., M. Azam, M. Aslam, and C.-H. Jun. 2017. A control chart for monitoring process variation using multiple dependent state sampling. Communications in Statistics-Simulation and Computation 47:2216–33.
- Aslam, M., O. H. Arif, and C.-H. Jun. 2016. A new variable sample size control chart using mds sampling. Journal of Statistical Computation and Simulation 86 (18):3620–8. doi:https://doi.org/10.1080/00949655.2016.1178263.
- Awais, M., and A. Haq. 2018. An EWMA chart for monitoring process mean. Journal of Statistical Computation and Simulation 88 (5):1003–25. doi:https://doi.org/10.1080/00949655.2017.1421193.
- Bouza, C., and A. I. F. Al-Omari. 2018. Ranked set sampling: 65 years improving the accuracy in data gathering. Cambridge, MA: Academic Press.
- Chen, Z., Z. Bai, and B. Sinha. 2003. Ranked set sampling: Theory and applications. New York (NY): Springer Science & Business Media.
- Costa, A. F. 1997. X chart with variable sample size and sampling intervals. Journal of Quality Technology 29 (2):197. doi:https://doi.org/10.1080/00224065.1997.11979750.
- Haq, A., and W. Munir. 2018. Improved cusum charts for monitoring process mean. Journal of Statistical Computation and Simulation 88 (9):1684–701. doi:https://doi.org/10.1080/00949655.2018.1444040.
- Kazemzadeh, R. B., A. Amiri, and B. Kouhestani. 2016. Monitoring simple linear profiles using variable sample size schemes. Journal of Statistical Computation and Simulation 86 (15):2923–45. doi:https://doi.org/10.1080/00949655.2016.1138115.
- Khaw, K. W., M. B. Khoo, W. C. Yeong, and Z. Wu. 2017. Monitoring the coefficient of variation using a variable sample size and sampling interval control chart. Communications in Statistics-Simulation and Computation 46 (7):5772–94. doi:https://doi.org/10.1080/03610918.2016.1177074.
- Mahadik, S. B. 2017. A unified approach to adaptive shewhart control charts. Communications in Statistics-Theory and Methods 46(20):10272–93. doi:https://doi.org/10.1080/03610926.2016.1235192.
- McIntyre, G. 1952. A method for unbiased selective sampling, using ranked sets. Australian Journal of Agricultural Research 3 (4):385–90. doi:https://doi.org/10.1071/AR9520385.
- Mehmood, R., M. Riaz, and R. J. Does. 2013. Control charts for location based on different sampling schemes. Journal of Applied Statistics 40 (3):483–94. doi:https://doi.org/10.1080/02664763.2012.740624.
- Montgomery, D. 2008. Design and analysis of experiments. 7th ed. New York, NY: John Wiley & Sons.
- Muttlak, H., and W. Al-Sabah. 2003. Statistical quality control based on ranked set sampling. Journal of Applied Statistics 30 (9):1055–78. doi:https://doi.org/10.1080/0266476032000076173.
- Nawaz, T., M. A. Raza, and D. Han. 2018. A new approach to design efficient univariate control charts to monitor the process mean. Quality and Reliability Engineering International 34 (8):1732–51. doi:https://doi.org/10.1002/qre.2366.
- Prabhu, S., G. Runger, and J. Keats. 1993. Adaptive sample size xbar chart. International Journal of Production Research 31 (12):2895–909. An doi:https://doi.org/10.1080/00207549308956906.
- R Core Team. 2017. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
- Reynolds, M. R., R. W. Amin, J. C. Arnold, and J. A. Nachlas. 1988. Charts with variable sampling intervals. Technometrics 30 (2):181–92. doi:https://doi.org/10.1080/00401706.1988.10488366.
- Saghir, A., L. Ahmad, M. Aslam, and C.-H. Jun. 2018. A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location. Communications in Statistics-Simulation and Computation. doi:https://doi.org/10.1080/03610918.2018.1433837.
- Salazar, R., and A. Sinha. 1997. Control chart x based on ranked set sampling. Comunicacion Tecica 1:1–97.
- Santos-Fernández, E. 2013. Multivariate statistical quality control using R, vol. 14. New York, USA: Springer.
- Shewhart, W. A. 1924. Some applications of statistical methods to the analysis of physical and engineering data. Bell System Technical Journal 3 (1):43–87. doi:https://doi.org/10.1002/j.1538-7305.1924.tb01347.x.
- Stokes, S. L. 1980. Estimation of variance using judgment ordered ranked set samples. Biometrics 36(1):35–42. doi:https://doi.org/10.2307/2530493.
- Taconeli, C. A., and A. D S. Cabral. 2019. New two-stage sampling designs based on neoteric ranked set sampling. Journal of Statistical Computation and Simulation 89 (2):232–48. doi:https://doi.org/10.1080/00949655.2018.1541990.
- Woodall, W. H., and D. C. Montgomery. 2014. Some current directions in the theory and application of statistical process monitoring. Journal of Quality Technology 46 (1):78. doi:https://doi.org/10.1080/00224065.2014.11917955.
- Wortham, A., and R. Baker. 1976. Multiple deferred state sampling inspection. The International Journal of Production Research 14 (6):719–31. doi:https://doi.org/10.1080/00207547608956391.
- Zamanzade, E., and A. I. Al-Omari. 2016. New ranked set sampling for estimating the population mean and variance. Hacettepe Journal of Mathematics and Statistics 45 (6):1891–905. doi:https://doi.org/10.15672/HJMS.20159213166.